A Compact Synchronous Cellular Model of Nonlinear Calcium Dynamics: Simulation and FPGA Synthesis Results

Soleimani, Hamid; Drakakis, Emmanuel M.

doi:10.1109/tbcas.2016.2636183

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…The various values of the biological model parameters are presented in Table 1. According to [11], the cellular calcium model developed upon this biological model is defined as follows:…”

Section: Synchronous Cellular Calcium Modelmentioning

confidence: 99%

“…The proposed hardware architecture potentially has the ability to be fully reconfigurable and reprogrammable for all possible CICR dynamics with various Hill coefficient values as shown in [11]. This reconfigurability stems from the memory-based architecture of the proposed digital hardware, which is a limitation in practice when it comes to the implementation of dynamical systems in analog CMOS-based design.…”

Section: Reconfigurabilitymentioning

confidence: 99%

“…1(a). The simulated hardware results extracted from [11] are shown in Fig. 4 for two other calcium dynamics.…”

Section: Reconfigurabilitymentioning

confidence: 99%

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A low‐power digital IC emulating intracellular calcium dynamics

Soleimani

Drakakis

2018

Circuit Theory & Apps

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Low power/area cytomorphic chips may be interfaced and ultimately implanted in the human body for cell-sensing and cell-control applications of the future. In such electronic platforms, it is crucial to accurately mimic the biological time-scales and operate in real-time. This paper proposes a methodology where slow nonlinear dynamical systems describing the behavior of naturally encountered biological systems can be efficiently realised in hardware. To this end, as a case study, a low power and efficient digital ASIC capable of emulating slow intracellular calcium dynamics with time-scales reaching to seconds has been fabricated in the commercially available AMS 0.35 µm technology and compared with its analog counterpart. The fabricated chip occupies an area of 1.5 mm 2 (excluding the area of the pads) and consumes 18.93 nW for each calcium unit from a power supply of 3.3 V. The presented cytomimetic topology follows closely the behavior of its biological counterpart, exhibiting similar time-domain calcium ions dynamics. Results show that the implemented design has the potential to speed up large-scale simulations of slow intracellular dynamics by sharing cellular units in real-time.

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“…The various values of the biological model parameters are presented in Table 1. According to [11], the cellular calcium model developed upon this biological model is defined as follows:…”

Section: Synchronous Cellular Calcium Modelmentioning

confidence: 99%

Section: Reconfigurabilitymentioning

confidence: 99%

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A low‐power digital IC emulating intracellular calcium dynamics

Soleimani

Drakakis

2018

Circuit Theory & Apps

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A Digital Realization of Neuroglial Interaction Model and Its Network Structure

Seyedbarhagh

Ahmadi

2022

IEEE Access

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Astrocyte cells, the most existing abundant cells in central nervous system, play an essential role in modulating the neuronal activities, information processing, and regulating the synaptic plasticity through calcium (Ca2+) fluctuations of ions hemostasis by using a feedback mechanism. The pathophysiological and hypersynchronous neuronal activity can lead to the epileptic seizures, which is known as one of the neurodegenerative disorders in the field of neuroscience. This paper presents a modified neuron-astrocyte interaction (tripartite synapse) model based on leaky and integrate fire neuron and the astrocyte-synapse models using an area-efficient hardware approach called stochastic computing paradigm. The proposed model is synthesized physically on field-programmable gate array as a proof of concept. The implementation results of the presented model can mimic the bidirectional communication in biological minimal network of pre-postsynaptic and Ca2+-based model for astrocyte with considerably lower hardware cost. The influence of astrocytes on neural network behavioral has been investigated by providing a proper feedback mechanism and considering the role of gap junction coupling and the various coefficients on desynchronizing the impaired synchronization of the coupled neurons.INDEX TERMS Astrocytes, Desynchronization, Field programmable gate array (FPGA), Neural-Glial interaction.

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Time Step Impact on Performance and Accuracy of Izhikevich Neuron: Software Simulation and Hardware Implementation

Heidarpur

Ahmadi

2020

2020 IEEE International Symposium on Circuits and Systems (ISCAS)

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A Compact Synchronous Cellular Model of Nonlinear Calcium Dynamics: Simulation and FPGA Synthesis Results

Cited by 10 publications

References 23 publications

A low‐power digital IC emulating intracellular calcium dynamics

A low‐power digital IC emulating intracellular calcium dynamics

A Digital Realization of Neuroglial Interaction Model and Its Network Structure

Time Step Impact on Performance and Accuracy of Izhikevich Neuron: Software Simulation and Hardware Implementation

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